Modern Statistics For Biology Wolfgang Huber Cambridge University Press Αγγλικά Βιβλία Computing And Technology

If You Are A Biologist And Want To Get The Best Out Of Powerful Methods Modern Computational Statistics This Is Your Book Can Visualize Analyze Own Data Apply Unsupervised Supervised Learning Integrate Datasets Hypothesis Testing Make Publication-Quality Figures Using Power R Bioconductor Ggplot2 Will Teach \ Cooking From Scratch\ Raw Beautiful Illuminating Output As Learn Write Scripts In Language Use Advanced Packages Cran It Covers Broad Range Basic Topics Important Analysis High-Throughput Biological Including Principal Component Multidimensional Scaling Clustering Multiple Resampling Pitfalls Experimental Design Simulations Monte Carlo Even Reaches Networks Trees Spatial Image Microbial Ecology Minimum Mathematical Notation Builds Understanding Well-Chosen Examples Simulation Visualization Above All Hands-On Interaction With Code Σελίδες: 402